%global _empty_manifest_terminate_build 0
%define debug_package %{nil}
Name:           pytorch-lightning
Version:        2.0.2
Release:        2
Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
License:        BSD-3
URL:            https://github.com/Lightning-AI/pytorch-lightning
Source0:        https://atomgit.com/havefun/pytorch_lightning/raw/master/pytorch-lightning-2.0.2.tar.gz

BuildRequires:  g++
Requires:       python3-future
Requires:       python3-numpy

%description
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.

%package -n python3-lightning
Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
Provides:       python-lightning
BuildRequires:  python3-devel
BuildRequires:  python3-setuptools
BuildRequires:  python3-setuptools_scm
BuildRequires:  python3-pbr
BuildRequires:  python3-pip
BuildRequires:  python3-wheel
BuildRequires:  python3-hatchling

BuildRequires:  python3-astunparse
BuildRequires:  python3-numpy
BuildRequires:  python3-pyyaml
BuildRequires:  cmake
BuildRequires:  python3-typing-extensions
BuildRequires:  python3-requests
BuildRequires:  python3-pytorch

AutoReqProv: no

%description -n python3-lightning
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.

%package help
Summary:        Development documents and examples for torch
Provides:       python3-lightning-doc
%description help
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.

%prep
%autosetup -p1 -n %{name}-%{version}

%build
%pyproject_build

%install
%pyproject_install

%files -n python3-lightning
%doc *.md
%license LICENSE
%{python3_sitelib}/lightning_fabric
%{python3_sitelib}/pytorch_lightning
%{python3_sitelib}/pytorch_lightning-%{version}.dist-info


%changelog
* Thu Aug 17 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-2
- Fix the EulerMaker failure for verion 2.0.1

* Mon Jul 24 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-1
- upgrade to 2.0.1

* Thu Feb 16 2023 Dongxing Wang <dxwangk@isoftstone.com> - 1.11.0-2
- fixes: error: the CXX 11 compiler error (linux.cc flexible array member not at end of struct)

* Mon Jun 13 2022 Zhipeng Xie <xiezhipeng1@huawei.com> - 1.11.0-1
- upgrade to 1.11.0

* Mon Jun 28 2021 wulei <wulei80@huawei.com> - 1.6.0-3
- fixes: error: the CXX compiler identification is unknown

* Thu Feb 4 2021 Zhipeng Xie<xiezhipeng1@huawei.com> - 1.6.0-2
- disable SVE to fix compile error in gcc 9

* Sun Sep 27 2020 Zhipeng Xie<xiezhipeng1@huawei.com> - 1.6.0-1
- Package init